5 search results - page 1 / 1 » Exploiting Cluster-Structure to Predict the Labeling of a Gr... |
69
Voted
ALT
2008
Springer
15 years 6 months ago
2008
Springer
Abstract. The nearest neighbor and the perceptron algorithms are intuitively motivated by the aims to exploit the “cluster” and “linear separation” structure of the data to...
NIPS
2008
14 years 11 months ago
2008
We continue our study of online prediction of the labelling of a graph. We show a fundamental limitation of Laplacian-based algorithms: if the graph has a large diameter then the ...
86
Voted
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
118
click to vote
LION
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Protein function prediction represents a fundamental challenge in bioinformatics. The increasing availability of proteomics network data has enabled the development of se...
89
Voted
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
In this paper, we present a novel semisupervised regression algorithm working on multiclass data that may lie on multiple manifolds. Unlike conventional manifold regression algori...